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Trend Flow Trend Flow — by Volume Hub A clean momentum-based trend map built around EMA 21, EMA 50, and EMA 200. TrendFlow helps you instantly see whether price is flowing with the trend or fighting against it. When price trades above the short-term EMAs, momentum is bullish — when it falls below, the flow reverses. 🟢 How to use Buy bias: when price is above EMA 21 & EMA 50 and both are aligned above the EMA 200. The green zone between 21 & 50 acts as a dynamic support channel — ideal for pullback entries. Sell bias: when price is below EMA 21 & EMA 50 and both are under the EMA 200. The red zone highlights a resistance channel — look for rejection or continuation setups. Neutral zone: when EMAs are tangled or flat — stay patient until structure expands again. ⚙️ Features Soft, low-opacity EMA 21 & 50 for clear channel view Dynamic EMA 200 color shift (green = bullish / red = bearish / gray = neutral) Automatic color fill between EMA 21 & 50 for instant trend-strength feedback 🎯 Purpose Designed for traders who prefer clean price structure and disciplined trend confirmation. Use TrendFlow as your core directional filter — pair it with your own entry logic, liquidity zones, or volume confirmations. 📈 Created by: Volume Hub
Pine Script® göstergesi
FXGOD22 tarafından
Lorentzian Harmonic Flow - Temporal Market Dynamic Lorentzian Harmonic Flow - Temporal Market Dynamic (⚡LHF) By: DskyzInvestments What this is LHF Pro is a research‑grade analytical instrument that models market time as a compressible medium , extracts directional flow in curved time using heavy‑tailed kernels, and consults a history‑based memory bank for context before synthesizing a final, bounded probabilistic score . It is not a mashup; each subsystem is mathematically coupled to a single clock (time dilation via gamma) and a single lens (Lorentzian heavy‑tailed weighting). This script is dense in logic (and therefore heavy) because it prioritizes rigor, interpretability, and visual clarity. Intended use Education and research. This tool expresses state recognition and regime context—not guarantees. It does not place orders. It is fully functional as published and contains no placeholders. Nothing herein is financial advice. Why this is original and useful Curved time: Markets do not move at a constant pace. LHF Pro computes a Lorentz‑style gamma (γ) from relative speed so its analytical windows contract when the tape accelerates and relax when it slows. Heavy‑tailed lens: Lorentzian kernels weight information with fat tails to respect rare but consequential extremes (unlike Gaussian decay). Memory of regimes: A K‑nearest‑neighbors engine works in a multi‑feature space using Lorentz kernels per dimension and exponential age fade , returning a memory bias (directional expectation) and assurance (confidence mass). One ecosystem: Squeeze, TCI, flow, acceleration, and memory live on the same clock and blend into a single final_score —visualized and documented on the dashboard. Cognitive map: A 2D heat map projects memory resonance by age and flow regime, making “where the past is speaking” visible. Shadow portfolio metaphor: Neighbor outcomes act like tiny hypothetical positions whose weighted average forms an educational pressure gauge (no execution, purely didactic). Mathematical framework (full transparency) 1) Returns, volatility, and speed‑of‑market Log return: rₜ = ln(closeₜ / closeₜ₋₁) Realized vol: rv = stdev(r, vol_len); vol‑of‑vol: burst = |rv − rv | Speed‑of‑market (analog to c): c = c_multiplier × (EMA(rv) + 0.5 × EMA(burst) + ε) 2) Trend velocity and Lorentz gamma (time dilation) Trend velocity: v = |close − close | / (vel_len × ATR) Relative speed: v_rel = v / c Gamma: γ = 1 / √(1 − v_rel²), stabilized by caps (e.g., ≤10) Interpretation: γ > 1 compresses market time → use shorter effective windows. 3) Adaptive temporal scale Adaptive length: L = base_len / γ^power (bounded for safety) Harmonic horizons: Lₛ = L × short_ratio, Lₘ = L × mid_ratio, Lₗ = L × long_ratio 4) Lorentzian smoothing and Harmonic Flow Kernel weight per lag i: wᵢ = 1 / (1 + (d/γ)²), d = i/L Horizon baselines: lw_h = Σ wᵢ·price / Σ wᵢ Z‑deviation: z_h = (close − lw_h)/ATR Harmonic Flow (HFL): HFL = (w_short·zₛ + w_mid·zₘ + w_long·zₗ) / (w_short + w_mid + w_long) 5) Flow kinematics Velocity: HFL_vel = HFL − HFL Acceleration (curvature): HFL_acc = HFL − 2·HFL + HFL 6) Squeeze and temporal compression Bollinger width vs Keltner width using L Squeeze: BB_width < KC_width × squeeze_mult Temporal Compression Index: TCI = base_len / L; TCI > 1 ⇒ compressed time 7) Entropy (regime complexity) Shannon‑inspired proxy on |log returns| with numerical safeguards and smoothing. Higher entropy → more chaotic regime. 8) Memory bank and Lorentzian k‑NN Feature vector (5D): Outcomes stored: forward returns at H5, H13, H34 Per‑dimension similarity: k(Δ) = 1 / (1 + Δ²), weighted by user’s feature weights Age fading: weight_age = mem_fade^age_bars Neighbor score: sᵢ = similarityᵢ × weight_ageᵢ Memory bias: mem_bias = Σ sᵢ·outcomeᵢ / Σ sᵢ Assurance: mem_assurance = Σ sᵢ (confidence mass) Normalization: mem_bias normalized by ATR and clamped into band Shadow portfolio metaphor: neighbors behave like micro‑positions; their weighted net forward return becomes a continuous, adaptive expectation. 9) Blended score and breakout proxy Blend factor: α_mem = 0.45 + 0.15 × (γ − 1) Final score: final_score = (1−α_mem)·tanh(HFL / (flow_thr·1.5)) + α_mem·tanh(mem_bias_norm) Breakout probability (bounded): energy = cap(TCI−1) + |HFL_acc|×k + cap(γ−1)×k + cap(mem_assurance)×k; breakout_prob = sigmoid(energy). Caps avoid runaway “100%” readings. Inputs — every control, purpose, mechanics, and tuning 🔮 Lorentz Core Auto‑Adapt (Vol/Entropy): On = L responds to γ and entropy (breathes with regime), Off = static testing. Base Length: Calm‑market anchor horizon. Lower (21–28) for fast tapes; higher (55–89+) for slow. Velocity Window (vel_len): Bars used in v. Shorter = more reactive γ; longer = steadier. Volatility Window (vol_len): Bars used for rv/burst (c). Shorter = more sensitive c. Speed‑of‑Market Multiplier (c_multiplier): Raises/lowers c. Lower values → easier γ spikes (more adaptation). Aim for strong trends to peak around γ ≈ 2–4. Gamma Compression Power: Exponent of γ in L. <1 softens; >1 amplifies adaptation swings. Max Kernel Span: Upper bound on smoothing loop (quality vs CPU). 🎼 Harmonic Flow Short/Mid/Long Horizon Ratios: Partition L into fast/medium/slow views. Smaller short_ratio → faster reaction; larger long_ratio → sturdier bias. Weights (w_short/w_mid/w_long): Governs HFL blend. Higher w_short → nimble; higher w_long → stable. 📈 Signals Squeeze Strictness: Threshold for BB1 = compressed (coiled spring); <1 = dilated. v/c: Relative speed; near 1 denotes extreme pacing. Diagnostic only. Entropy: Regime complexity; high entropy suggests caution, smaller size, or waiting for order to return. HFL: Curved‑time directional flow; sign and magnitude are the instantaneous bias. HFL_acc: Curvature; spikes often accompany regime ignition post‑squeeze. Mem Bias: Directional expectation from historical analogs (ATR‑normalized, bounded). Aligns or conflicts with HFL. Assurance: Confidence mass from neighbors; higher → more reliable memory bias. Squeeze: ON/RELEASE/OFF from BB
Pine Script® göstergesi
DskyzInvestments tarafından
1
Squeeze Momentum with ADX Filter and Multi-Cycle WavesTitle: Squeeze Momentum with ADX Filter and Multi-Cycle Waves Description: This indicator integrates three well-established technical analysis methodologies into a single oscillator to help traders assess volatility compression, trend strength, and cyclical momentum alignment: Squeeze Momentum (TTM-style) – Based on Bollinger Bands and Keltner Channels, it identifies periods of low volatility ("the squeeze") followed by directional breakouts. The histogram reflects momentum using linear regression relative to a dynamic centerline. Positive values indicate upward momentum; negative values indicate downward momentum. ADX with DI+/DI- (Welles Wilder, 1978) – The Average Directional Index is dynamically scaled to match the visual range of the Squeeze histogram. A user-defined Key Level (default: 32) serves as a reference threshold: when ADX rises above this level, it suggests a strong trend is present. DI+ (green) and DI- (red) show directional bias. Multi-Cycle Waves (55/144/233) – Inspired by adaptive cycle analysis and MACD-style oscillators, these smoothed momentum waves help identify confluence across multiple timeframes. They are optional and appear as shaded areas when enabled. Key Features: The Squeeze Momentum Line appears as black/gray crosses at the zero level, indicating momentum polarity without visual clutter. The Key Level is shown as a thick gray horizontal line, representing the ADX threshold in the scaled oscillator space. ADX is plotted with increased line width (3) for better visibility. All components are dynamically scaled to share the same vertical axis, enabling direct visual comparison. Attribution: Bollinger Bands: John Bollinger Keltner Channels: Chester Keltner Squeeze concept popularized by Linda Raschke and John Carter ADX/DI system: J. Welles Wilder Jr. Multi-cycle wave logic: inspired by John Ehlers’ work on market cycles Integration, scaling logic, and visualization: © Carlos Mauricio Vizcarra (2025) This script is published under the Mozilla Public License v2.0. It is open-source, non-promotional, and designed for educational and analytical use only. No investment advice is provided.
Pine Script® göstergesi
CARLOSVIZCARRA17 tarafından
Session Opens by TradeSeekersIt doesn't get much simpler than this indicator for futures traders wanting to track four key session open prices. Sessions 1. ETH open - extended hours starts 2. Midnight open - new calendar day starts 3. CME open - Chicago exchange opens, data releases 4. RTH open - regular trading hours, volume cometh Usage All four of these prices / areas are important for futures traders to pay attention to. RTH opens far below ETH sometimes will retrace, CME and RTH together can act as a powerful range. Midnight open sometimes has little importance for the day, but then again it's provided beautiful bounces. Again each level I find to be impactful nearly every session, so I like to keep them close by in an understated manner. Timezone If you're not EST, adjust the timezone string accordingly (refer to TradingView docs for string formats). Proximity Detection Also, I added proximity detection that aims to keep level collisions from occurring. If a particular session open isn't shown it may be due to being exactly the same price as another open or it's too close to another open. The proximity sensitivity can be adjusted in settings. The on chart appearance doesn't impact the alerting capability. Aesthetics I don't like boring charts so I added a fun "glow" effect, I went with a palette that reminded me of clear sky colors at those times of day (if you're EST). Alerting Alerting can be done with just a single alert, first open the indicator config and uncheck any session opens you don't want to be alerted on (why!?), and then use the standard alert menus in TradingView to set the alert on "Any alert() function call". Why does this beautiful indicator exist? While there are a handful of indicators that plot open prices with some overlap to this one, I didn't see any that alerted automatically without much fuss.
Pine Script® göstergesi
TradeSeekers tarafından
3
Moving Averages Power ----------------------------------------------------------------------------- This is a README in Pine Script format for TradingView publication. It contains usage docs in comments and a no-op plot so it uploads without issue. For the actual indicator, use: moving_averages_simple.pine ----------------------------------------------------------------------------- plot(na) no-op to keep the script valid without drawing anything ============================================================================= Moving Averages (5–4320) — Trend + Normalized Strength ============================================================================= Lightweight indicator that plots up to 15 SMAs (5 → 4320) and shows a compact table with each MA’s: - Slope % (per-bar) - Trend (Bullish/Bearish/Neutral) - Normalized “Strength” bars comparable across MA lengths and, optionally, across timeframes via ATR% Not financial advice. For research/education only. ---------------------------------------------------------------------------- Scope ---------------------------------------------------------------------------- - Simple Moving Averages (SMA) only - Periods: 5, 10, 20, 30, 60, 120, 160, 240, 480, 720, 960, 1440, 1750, 2880, 4320 - Overlays lines + end-of-series labels; adds a 4×16 table (bottom-right) - Strength normalization modes: None, Length, ATR%, Length+ATR% ---------------------------------------------------------------------------- Key Features ---------------------------------------------------------------------------- - 15 SMA lines on one chart - Line/label/table colors reflect trend: • Bullish (slope > 0): green • Bearish (slope < 0): red • Neutral (otherwise): gray - Normalized Strength bars comparable across MA lengths and (optionally) across timeframes via ATR% - Show/hide any SMA; adjustable font sizes for labels and table ---------------------------------------------------------------------------- Installation (TradingView) ---------------------------------------------------------------------------- 1) Open TradingView → any chart → Pine Editor 2) Create a new script and paste the contents of moving_averages_simple.pine 3) Save → Add to chart 4) Open Settings to customize inputs (This README.pine is just documentation. It does not draw lines or the table.) ---------------------------------------------------------------------------- Usage ---------------------------------------------------------------------------- Table columns: - MA: the moving average period - Slope %: per-bar percent change of the MA slope% = 100 × (MA − MA ) / MA - Trend: Bullish (green), Bearish (red), Neutral (gray) - Strength: a bar of ▮ characters, computed from normalized strength and clamped to a max (default 10 bars) Strength normalization (S): - None: S = |slope%| - Length: S = |slope%| × (length / normRefLen) - ATR%: S = |slope%| / ATR%, where ATR% = 100 × ATR(atrLen) / close - Length+ATR%: S = (|slope%| × (length / normRefLen)) / ATR% Bars: bars = floor(S / strengthStep), clamped to maxStrengthBars Notes: - normRefLen (default 240) stabilizes Length scaling across very short/long MAs - In ATR modes, Strength is blank until ATR is ready (requires atrLen bars) ---------------------------------------------------------------------------- Inputs (Settings) ---------------------------------------------------------------------------- - Display: 15 toggles to show/hide SMA 5 … SMA 4320 - Text Settings: Label font size; Table font size - Strength Settings: • Strength normalization: None | Length | ATR% | Length+ATR% • Strength step (normalized units): sensitivity of bar count • Max bars: clamp for bar count (default 10) • Normalization reference length: baseline for Length scaling (default 240) • ATR Length (for ATR% normalization): ATR lookback for ATR% ---------------------------------------------------------------------------- Recommended presets ---------------------------------------------------------------------------- Intraday (e.g., BTCUSD, 1h): - Normalization: Length+ATR% - normRefLen: 240 - Strength step: 0.02–0.05 - Max bars: 10 - ATR Length: 14 Daily (e.g., AAPL, 1D): - Normalization: Length - normRefLen: 240–480 - Strength step: 0.01–0.03 - Max bars: 10 ---------------------------------------------------------------------------- Calibration tips ---------------------------------------------------------------------------- Bars often maxed (pegged)? - Increase Strength step (e.g., 0.01 → 0.03 → 0.05) - Or increase normRefLen (e.g., 240 → 480 → 720) Bars too few? - Decrease Strength step (e.g., 0.02 → 0.01 → 0.005) - Or decrease normRefLen (e.g., 240 → 120) Cross-timeframe comparability: - Prefer Length+ATR%; start with Strength step ≈ 0.02–0.05 and tune ---------------------------------------------------------------------------- Limitations ---------------------------------------------------------------------------- - SMA only (no EMA/WMA/etc.) - Per-bar slope is timeframe-sensitive; use ATR% or Length+ATR% for better cross-timeframe comparisons - ATR modes require atrLen bars; Strength shows blank until ready - Longest SMA (4320) needs sufficient chart history ---------------------------------------------------------------------------- Troubleshooting ---------------------------------------------------------------------------- - Strength always maxed: • Using Length mode with too-small step → increase step and/or use Length+ATR% • Review normRefLen (higher ref length dampens long MAs) - Strength blank cells: • In ATR modes, wait for atrLen bars or use Length mode - Table bounds: • If you customize periods or table size in the main script, keep header at row 0 and at most 15 data rows (4×16 table) ---------------------------------------------------------------------------- Compatibility ---------------------------------------------------------------------------- - Pine Script v6 - Works on most symbols/timeframes with adequate history ---------------------------------------------------------------------------- Credits & Feedback ---------------------------------------------------------------------------- If you find this useful, consider sharing your preferred defaults (symbol/ timeframe) so better presets can be added. PRs/issues welcome in the repo.
Pine Script® göstergesi
codyhome tarafından
Moving Averages PowerMoving Averages Power — Trend + Normalized Strength Lightweight indicator that plots up to 15 SMAs (5 → 4320) and shows a compact table with each MA’s: Slope % (per-bar) Trend (Bullish/Bearish/Neutral) Normalized “Strength” bars comparable across MA lengths and, optionally, across timeframes via ATR% Not financial advice. For research/education only. What it does Plots 15 SMA lines on the price chart Colors match trend: Bullish (green), Bearish (red), Neutral (gray) Bottom-right table: MA, Slope %, Trend, Strength bars Strength normalization modes: None: raw |slope%| Length: scales by length relative to a reference length ATR%: scales by volatility (ATR as % of price) Length+ATR%: combines both for better cross-timeframe comparability How it works (concepts) Slope % per bar: 100 × (MA − MA ) / MA Normalization: None: S = |slope%| Length: S = |slope%| × (length / normRefLen) ATR%: S = |slope%| / ATR%, where ATR% = 100 × ATR(atrLen) / close Length+ATR%: S = (|slope%| × (length / normRefLen)) / ATR% Bars: floor(S / strengthStep), clamped to Max bars (default 10) Notes: normRefLen (default 240) keeps Length scaling stable across very short and very long MAs In ATR modes, Strength shows blank until there’s enough history for ATR How to use Add the indicator to your chart (Indicators → search this title → Add). Open Settings: Show/hide any of the 15 SMAs Choose Strength normalization mode Tune Strength step, Max bars, Reference length, and ATR Length Read the table: MA: period Slope %: per-bar percent change of the MA Trend: green (bullish), red (bearish), gray (neutral) Strength: more bars = stronger trend under the chosen normalization Inputs (quick reference) Display: 15 toggles: Show SMA 5 … Show SMA 4320 Strength Settings: Strength normalization: None | Length | ATR% | Length+ATR% Strength step (normalized units): sensitivity of bar count Max bars: clamp for the bar count (default 10) Normalization reference length: baseline for Length scaling (default 240) ATR Length (for ATR%): ATR lookback used for ATR% Text: Label font size, Table font size Line + label colors Bullish (slope > 0): green Bearish (slope < 0): red Neutral (otherwise): gray The MA lines, end-of-series labels, and table trend cell use the same colors Recommended presets (examples) Intraday (e.g., BTCUSD, 1h): Strength normalization: Length+ATR% normRefLen: 240 Strength step: 0.02–0.05 Max bars: 10 ATR Length: 14 Daily (e.g., AAPL, 1D): Strength normalization: Length normRefLen: 240–480 Strength step: 0.01–0.03 Max bars: 10 Calibration tips Bars often at max (pegged)? Increase Strength step (e.g., 0.01 → 0.03 → 0.05) Or increase normRefLen (e.g., 240 → 480 → 720) Bars too few? Decrease Strength step (e.g., 0.02 → 0.01 → 0.005) Or decrease normRefLen (e.g., 240 → 120) Cross-timeframe comparability: Prefer Length+ATR%; start with Strength step ≈ 0.02–0.05 and tune Limitations SMA only (no EMA/WMA/etc.) Per-bar slope is inherently timeframe-sensitive; use ATR% or Length+ATR% for better cross-timeframe comparisons ATR modes require atrLen bars; Strength shows blank until ready The longest SMA (4320) needs sufficient chart history Troubleshooting Strength always looks maxed: You might be on Length mode with a very small step; increase Strength step and/or use Length+ATR%; review normRefLen Strength blank cells: In ATR modes, wait for enough history (atrLen) or switch to Length mode Table bounds: The script manages rows internally; if you customize periods, ensure the total rows fit the 4×16 table Compatibility Pine Script v6 Works on most symbols/timeframes with adequate history If you find this useful, consider leaving feedback with your preferred defaults (symbol/timeframe) so I can provide better presets.
Pine Script® göstergesi
codyhome tarafından
Solana 4H RSI->MACD — Counter-Trend By TetradTetrad RSI→RSI Cross→MACD (Sequenced) — Counter-Trend (SL-Only) Category: Market-neutral, counter-trend, sequenced entries Timeframe default: Works on any TF; designed around 4H On Solana Markets: Any (spot, perp, futures); parameterize to your asset What it does This strategy hunts reversals using a 3-step sequence on RSI and MACD, then optionally restricts entries by market regime and a price gate. It shows stop-loss lines only when hit (clean chart), and paints a Donchian glow for quick read of backdrop conditions. Entry logic (sequenced) 1. RSI Extreme: Long path activates when RSI < Oversold (default 27.5). Short path activates when RSI > Overbought (default 74). 2. RSI Cross confirmation: Long path: RSI crosses up back above the oversold level. Short path: RSI crosses down back below the overbought level. Each step has a max bar lookback so stale signals time out. 3. MACD Cross trigger: Long: MACD line crosses above Signal. Short: MACD line crosses below Signal. → When step 3 fires and gates are satisfied, a trade is entered. Optional gates & filters Regime Filter (Counter-Trend): Longs allowed in **Range / Short Trend / Short Parabolic** regimes. Shorts allowed in **Range / Long Trend / Long Parabolic** regimes. Based on ADX/DI and ATR% intensity. * Price Gate (Long Ceiling): Toggle to **disable new longs above a chosen price (default 209.0 For SOL). Useful for assets like SOL where you want longs only below a cap. Exits / Risk * Stop-Loss (% of entry):** default **14%**, toggleable. * SL visualization:** plots a **thin dashed red line only on the bar it’s hit**. * (No take-profit or time-based exit in this version—keep it pure to the sequence and regime. Add TP/time exits if desired.) Visuals * Donchian Glow (50): background band only (upper/lower lines hidden). * Regime HUD: compact table (top-right) highlighting the active regime. * Minimal marks: no entry/exit “arms” clutter; only SL-hit lines render. Inputs (key) * Core: RSI Length, Oversold/Overbought, MACD Fast/Slow/Signal. * Sequence: Max bars from Extreme→RSI Cross and RSI Cross→MACD Cross. * Regime: ADX Length, Trend/Parabolic thresholds, ATR length & floor. * Stops: Enable/disable; SL %. * Price Gate: Enable; Long ceiling price. Alerts Sequenced Long (CT): RSIhigh → RSI cross down → MACD bear cross. ## Notes & Tips Designed for counter-trend fades that become trend rides. The regime filter helps avoid fading true parabolics and aligns entries with safer contexts. The sequence is stateful (steps must occur in order). If a step times out, the path resets. Works on lower TFs, but the 4H baseline reduces noise and over-trading. Consider pairing with volume or structure filters if you want fewer but higher-conviction entries. Past performance ≠ future results. **Educational use only. Not financial advice.
Pine Script® stratejisi
TetradProtocol tarafından
ILM Checklist [Nix]ILM Checklist and Ratings Indicator! This is a checklist type guide for those that trade the ILM model and are having trouble rating setups on their own. You can double click on the checklist to open its settings where you can select all the confluences you see on the chart while a setup is forming. Then the checklist will give you a mechanical estimate of what rating would Nix give it. Obviously discretion is important as an A+ mechanical setup if still an F setup if you are executing it during a news event. I have also added a dark / light mode theme toggle to suit your chart.
Pine Script® göstergesi
Nix-Futures tarafından
LEGEND IsoPulse Fusion • Universal Volume Trend Buy Sell RadarLEGEND IsoPulse Fusion • Universal Volume Trend Buy Sell Radar One line summary LEGEND IsoPulse Fusion reads intent from price and volume together, learns which features matter most on your symbol, blends them into a single signed Fusion line in a stable unit range, and emits clear Buy Sell Close events with a structure gate and a liquidity safety gate so you act only when the tape is favorable. What this script is and why it exists Many traders keep separate windows for trend, volume, volatility, and regime filters. The result can feel fragmented. This script merges two complementary engines into one consistent view that is easy to read and simple to act on. LEGEND Tensor estimates directional quality from five causally computed features that are normalized for stationarity. The features are Flow, Tail Pressure with Volume Mix, Path Curvature, Streak Persistence, and Entropy Order. IsoPulse transforms raw volume into two decaying reservoirs for buy effort and sell effort using body location and wick geometry, then measures price travel per unit volume for efficiency, and detects volume bursts with a recency memory. Both engines are mapped into the same unit range and fused by a regime aware mixer. When the tape is orderly the mixer leans toward trend features. When the tape is messy but a true push appears in volume efficiency with bursts the mixer allows IsoPulse to speak louder. The outcome is a single Fusion line that lives in a familiar range with calm behavior in quiet periods and expressive pushes when energy concentrates. What makes it original and useful Two reservoir volume split . The script assigns a portion of the bar volume to up effort and down effort using body location and wick geometry together. Effort decays through time using a forgetting factor so memory is present without becoming sticky. Efficiency of move . Price travel per unit volume is often more informative than raw volume or raw range. The script normalizes both sides and centers the efficiency so it becomes signed fuel when multiplied by flow skew. Burst detection with recency memory . Percent rank of volume highlights bursts. An exponential memory of how recently bursts clustered converts isolated blips into useful context. Causal adaptive weighting . The LEGEND features do not receive static weights. The script learns, causally, which features have correlated with future returns on your symbol over a rolling window. Only positive contributions are allowed and weights are normalized for interpretability. Regime aware fusion . Entropy based order and persistence create a mixer that blends IsoPulse with LEGEND. You see a single line rather than two competing panels, which reduces decision conflict. How to read the screen in seconds Fusion area . The pane fills above and below zero with a soft gradient. Deeper fill means stronger conviction. The white Fusion line sits on top for precise crossings. Entry guides and exit guides . Two entry guides draw symmetrically at the active fused entry level. Two exit guides sit inside at a fraction of the entry. Think of them as an adaptive envelope. Letters . B prints once when the script flips from flat to long. S prints once when the script flips from flat to short. C prints when a held position ends on the appropriate side. T prints when the structure gate first opens. A prints when the liquidity safety flag first appears. Price bar paint . Bars tint green while long and red while short on the chart to mirror your virtual position. HUD . A compact dashboard in the corner shows Fusion, IsoPulse, LEGEND, active entry and exit levels, regime status, current virtual position, and the vacuum z value with its avoid threshold. What signals actually mean Buy . A Buy prints when the Fusion line crosses above the active entry level while gates are open and the previous state was flat. Sell . A Sell prints when the Fusion line crosses below the negative entry level while gates are open and the previous state was flat. Close . A Close prints when Fusion cools back inside the exit envelope or when an opposite cross would occur or when a gate forces a stop, and the previous state was a hold. Gates . The Trend gate requires sufficient entropy order or significant persistence. The Avoid gate uses a liquidity vacuum z score. Gates exist to protect you from weak tape and poor liquidity. Inputs and practical tuning Every input has a tooltip in the script. This section provides a concise reference that you can keep in mind while you work. Setup Core window . Controls statistics across features. Scalping often prefers the thirties or low fifties. Intraday often prefers the fifties to eighties. Swing often prefers the eighties to low hundreds. Smaller responds faster with more noise. Larger is calmer. Smoothing . Short EMA on noisy features. A small value catches micro shifts. A larger value reduces whipsaw. Fusion and thresholds Weight lookback . Sample size for weight learning. Use at least five times the horizon. Larger is slower and more confident. Smaller is nimble and more reactive. Weight horizon . How far ahead return is measured to assess feature value. Smaller favors quick reversion impulses. Larger favors continuation. Adaptive thresholds . Entry and exit levels from rolling percentiles of the absolute LEGEND score. This self scales across assets and timeframes. Entry percentile . Eighty selects the top quintile of pushes. Lower to seventy five for more signals. Raise for cleanliness. Exit percentile . Mid fifties keeps trades honest without overstaying. Sixty holds longer with wider give back. Order threshold . Minimum structure to trade. Zero point fifteen is a reasonable start. Lower to trade more. Raise to filter chop. Avoid if Vac z . Liquidity safety level. One point two five is a good default on liquid markets. Thin markets may prefer a slightly higher setting to avoid permanent avoid mode. IsoPulse Iso forgetting per bar . Memory for the two reservoirs. Values near zero point nine eight to zero point nine nine five work across many symbols. Wick weight in effort split . Balance between body location and wick geometry. Values near zero point three to zero point six capture useful behavior. Efficiency window . Travel per volume window. Lower for snappy symbols. Higher for stability. Burst percent rank window . Window for percent rank of volume. Around one hundred to three hundred covers most use cases. Burst recency half life . How long burst clusters matter. Lower for quick fades. Higher for cluster memory. IsoPulse gain . Pre compression gain before the atan mapping. Tune until the Fusion line lives inside a calm band most of the time with expressive spikes on true pushes. Continuation and Reversal guides . Visual rails for IsoPulse that help you sense continuation or exhaustion zones. They do not force events. Entry sensitivity and exit fraction Entry sensitivity . Loose multiplies the fused entry level by a smaller factor which prints more trades. Strict multiplies by a larger factor which selects fewer and cleaner trades. Balanced is neutral. Exit fraction . Exit level relative to the entry level in fused unit space. Values around one half to two thirds fit most symbols. Visuals and UX Columns and line . Use both to see context and precise crossings. If you present a very clean chart you can turn columns off and keep the line. HUD . Keep it on while you learn the script. It teaches you how the gates and thresholds respond to your market. Letters . B S C T A are informative and compact. For screenshots you can toggle them off. Debug triggers . Show raw crosses even when gates block entries. This is useful when you tune the gates. Turn them off for normal use. Quick start recipes Scalping one to five minutes Core window in the thirties to low fifties. Horizon around five to eight. Entry percentile around seventy five. Exit fraction around zero point five five. Order threshold around zero point one zero. Avoid level around one point three zero. Tune IsoPulse gain until normal Fusion sits inside a calm band and true squeezes push outside. Intraday five to thirty minutes Core window around fifty to eighty. Horizon around ten to twelve. Entry percentile around eighty. Exit fraction around zero point five five to zero point six zero. Order threshold around zero point one five. Avoid level around one point two five. Swing one hour to daily Core window around eighty to one hundred twenty. Horizon around twelve to twenty. Entry percentile around eighty to eighty five. Exit fraction around zero point six zero to zero point seven zero. Order threshold around zero point two zero. Avoid level around one point two zero. How to connect signals to your risk plan This is an indicator. You remain in control of orders and risk. Stops . A simple choice is an ATR multiple measured on your chart timeframe. Intraday often prefers one point two five to one point five ATR. Swing often prefers one point five to two ATR. Adjust to symbol behavior and personal risk tolerance. Exits . The script already prints a Close when Fusion cools inside the exit envelope. If you prefer targets you can mirror the entry envelope distance and convert that to points or percent in your own plan. Position size . Fixed fractional or fixed risk per trade remains a sound baseline. One percent or less per trade is a common starting point for testing. Sessions and news . Even with self scaling, some traders prefer to skip the first minutes after an open or scheduled news. Gate with your own session logic if needed. Limitations and honest notes No look ahead . The script is causal. The adaptive learner uses a shifted correlation, crosses are evaluated without peeking into the future, and no lookahead security calls are used. If you enable intrabar calculations a letter may appear then disappear before the close if the condition fails. This is normal for any cross based logic in real time. No performance promises . Markets change. This is a decision aid, not a prediction machine. It will not win every sequence and it cannot guarantee statistical outcomes. No dependence on other indicators . The chart should remain clean. You can add personal tools in private use but publications should keep the example chart readable. Standard candles only for public signals . Non standard chart types can change event timing and produce unrealistic sequences. Use regular candles for demonstrations and publications. Internal logic walkthrough LEGEND feature block Flow . Current return normalized by ATR then smoothed by a short EMA. This gives directional intent scaled to recent volatility. Tail pressure with volume mix . The relative sizes of upper and lower wicks inside the high to low range produce a tail asymmetry. A volume based mix can emphasize wick information when volume is meaningful. Path curvature . Second difference of close normalized by ATR and smoothed. This captures changes in impulse shape that can precede pushes or fades. Streak persistence . Up and down close streaks are counted and netted. The result is normalized for the window length to keep behavior stable across symbols. Entropy order . Shannon entropy of the probability of an up close. Lower entropy means more order. The value is oriented by Flow to preserve sign. Causal weights . Each feature becomes a z score. A shifted correlation against future returns over the horizon produces a positive weight per feature. Weights are normalized so they sum to one for clarity. The result is angle mapped into a compact unit. IsoPulse block Effort split . The script estimates up effort and down effort per bar using both body location and wick geometry. Effort is integrated through time into two reservoirs using a forgetting factor. Skew . The reservoir difference over the sum yields a stable skew in a known range. A short EMA smooths it. Efficiency . Move size divided by average volume produces travel per unit volume. Normalization and centering around zero produce a symmetric measure. Bursts and recency . Percent rank of volume highlights bursts. An exponential function of bars since last burst adds the notion of cluster memory. IsoPulse unit . Skew multiplied by centered efficiency then scaled by the burst factor produces the raw IsoPulse that is angle mapped into the unit range. Fusion and events Regime factor . Entropy order and streak persistence form a mixer. Low structure favors IsoPulse. Higher structure favors LEGEND. The blend is convex so it remains interpretable. Blended guides . Entry and exit guides are blended in the same way as the line so they stay consistent when regimes change. The envelope does not jump unexpectedly. Virtual position . The script maintains state. Buy and Sell require a cross while flat and gates open. Close requires an exit or force condition while holding. Letters print once at the state change. Disclosures This script and description are educational. They do not constitute investment advice. Markets involve risk. You are responsible for your own decisions and for compliance with local rules. The logic is causal and does not look ahead. Signals on non standard chart types can be misleading and are not recommended for publication. When you test a strategy wrapper, use realistic commission and slippage, moderate risk per trade, and enough trades to form a meaningful sample, then document those assumptions if you share results. Closing thoughts Clarity builds confidence. The Fusion line gives a single view of intent. The letters communicate action without clutter. The HUD confirms context at a glance. The gates protect you from weak tape and poor liquidity. Tune it to your instrument, observe it across regimes, and use it as a consistent lens rather than a prediction oracle. The goal is not to trade every wiggle. The goal is to pick your spots with a calm process and to stand aside when the tape is not inviting.
Pine Script® göstergesi
exlux tarafından
Breakdown or Buyable Dip? Pullback Depth Can HelpAs a common adage says, “the market doesn’t move in a straight line.” But when prices have fallen, it’s not always clear whether buying makes sense. That’s where today’s script may help. Most traditional indicators judge movement based on price. That’s obviously important, but time can also be helpful. After all, there’s a big difference between probing a low from 2-3 weeks ago versus a low from months or even years in the past. Pullback Depth clearly illustrates this by answering the question: “Today’s low is the lowest in how many bars?” The resulting integer is plotted in a simple histogram. Values are always negative because bars with higher absolute values (meaning more negative, or further below zero) are potentially more bearish. The study also has a maximum lookback period to avoid overwhelming the study with too many bars. Its default setting of 125 bars includes enough history to illustrate the trend. The stock market’s recent run has seen only shallow pullbacks. Most dips have probed 1-2 weeks in the past, while Friday’s selloff only turned back the clock a month. Consider two other previous moments. First, the great bull run of 1995 saw only shallow pullbacks. (None exceeded 50 days.): In contrast, early 2022 saw the S&P 500 test levels more than 100 candles into the past. It soon fell into an official “bear market:” TradeStation has, for decades, advanced the trading industry, providing access to stocks, options and futures. If you're born to trade, we could be for you. See our Overview for more. Past performance, whether actual or indicated by historical tests of strategies, is no guarantee of future performance or success. There is a possibility that you may sustain a loss equal to or greater than your entire investment regardless of which asset class you trade (equities, options or futures); therefore, you should not invest or risk money that you cannot afford to lose. Online trading is not suitable for all investors. View the document titled Characteristics and Risks of Standardized Options at www.TradeStation.com . Before trading any asset class, customers must read the relevant risk disclosure statements on www.TradeStation.com . System access and trade placement and execution may be delayed or fail due to market volatility and volume, quote delays, system and software errors, Internet traffic, outages and other factors. Securities and futures trading is offered to self-directed customers by TradeStation Securities, Inc., a broker-dealer registered with the Securities and Exchange Commission and a futures commission merchant licensed with the Commodity Futures Trading Commission). TradeStation Securities is a member of the Financial Industry Regulatory Authority, the National Futures Association, and a number of exchanges. TradeStation Securities, Inc. and TradeStation Technologies, Inc. are each wholly owned subsidiaries of TradeStation Group, Inc., both operating, and providing products and services, under the TradeStation brand and trademark. When applying for, or purchasing, accounts, subscriptions, products and services, it is important that you know which company you will be dealing with. Visit www.TradeStation.com for further important information explaining what this means.
Pine Script® göstergesi
TradeStation tarafından
Composite Stochastic Oscillator (CSO) [SharpStrat]Composite Stochastic Oscillator (CSO) The Composite Stochastic Oscillator (CSO) is a refined momentum tool designed to improve on the limitations of the traditional stochastic indicator. Standard stochastics are often too sensitive, producing choppy signals and frequent false turns. CSO tackles this problem by combining multiple stochastic calculations, each with different lengths and smoothing settings, into a single, balanced output. The goal of combining these stochastic variants is to create a more stable and reliable reading of market momentum. Each version of the stochastic captures different aspects of price behavior like shorter ones react faster, while longer ones filter noise. CSO brings them together mathematically to form a composite oscillator that reacts smoothly and consistently across varying market conditions. This makes it a useful improvement over the standard stochastic, providing traders with a more dependable signal while retaining the familiar interpretation framework. How It Works Calculates five independent stochastic oscillators with customizable K, D, and slowing parameters. Each stochastic contributes to the final composite value according to its assigned weight, allowing the user to emphasize faster or slower reactions. The resulting composite K is then smoothed into a D line using a chosen moving average method (SMA, EMA, WMA, or RMA). The oscillator is plotted along with optional overbought/oversold levels and a color fill to enhance visual interpretation. A compact on-chart table displays the current K and D readings for quick reference. Comparison with normal Stochastic Compared to a standard stochastic, the CSO generally produces smoother lines and fewer false flips. As evident in the comparison chart, this improves upon the normal stochastic by reducing noise and making signals more reliable, although results depend on parameter settings too. How To Use It Use the CSO exactly like a normal stochastic: look for crossovers, overbought/oversold zones, and divergences. In practice, CSO should provides smoother and more consistent signals than the regular stochastic, especially in sideways or volatile markets. When plotted beside a standard stochastic, you’ll notice CSO avoids many of the false reversals that clutter traditional readings. Customization Options Choice of smoothing method (SMA, EMA, WMA, RMA). Full control over each stochastic component’s parameters and weights. Adjustable overbought/oversold levels and display preferences. Option to enable or disable the on-chart table and zone fills. Note This indicator is shared purely for educational and research purposes. It is not financial advice and should not be treated as a ready-made trading system. I encourage you to experiment with different parameter values (periods, weights, smoothing) to explore how the behavior changes and to learn from the results.
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SharpStrat tarafından
SGM Gold Day Trading EMAsWhat it does This tool plots four Exponential Moving Averages (EMAs) with practical default periods for gold intraday analysis: 9 (Momentum), 21 (Pullback), 50 (Trend Filter), and 200 (Macro). The goal is to provide a clear, multi-horizon structure so traders can quickly assess momentum, pullbacks, intermediate trend, and long-term bias on the same chart. How it works (method) Each line is a standard EMA computed on the close price. The defaults map to common roles: EMA 9 – Momentum: immediate changes in short-term flow. EMA 21 – Pullback: typical retracement area within ongoing trends. EMA 50 – Trend Filter: medium-term confirmation of direction. EMA 200 – Macro: long-term bias and market context. Optional dynamic color for EMA9/EMA21 highlights whether EMA9 ≥ EMA21 (green) or not (red). This is a visual aid only; it does not generate signals. Originality & usefulness The script focuses on clarity and control rather than automation. It combines a neutral, high-contrast palette with independent line thickness per EMA and an optional visual crossover mode. The configuration encourages disciplined analysis across time horizons without embedding opaque entry/exit logic. Inputs & customization: Periods: 9, 21, 50, 200 (all adjustable). Colors: fully customizable for each EMA; optional crossover color mode for 9/21. Line thickness: set individually per EMA to emphasize your primary reference. How to use: Add the script on any timeframe/asset (gold defaults are provided but not required). Use EMA 200 for long-term bias; trade with caution against it. Use EMA 50 to filter intermediate trend; prefer setups aligned with it. Watch EMA 21 as a pullback reference within trends. Use EMA 9 to gauge momentum around pullbacks/breakouts. (Optional) Enable the crossover color to quickly see when momentum (9) is above/below pullback (21). Notes & limitations: This script does not produce buy/sell signals or alerts. It is intended as a visual framework to support analysis and risk management. Always validate with your own rules, risk controls, and market conditions.
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sabinaGM tarafından
Billionaire Gold ClubBillionaire Gold Club — Long-Term Gold Trend Follower Overview The Billionaire Gold Club indicator is designed for traders who follow the long-term bullish bias of Gold (XAU/USD). It focuses only on BUY opportunities and encourages patience during market pullbacks. The goal is to trade with the main trend, not against it. Instructions 1. The script automatically plots 7MA (fast) and 200MA (slow). 2. When 7MA crosses above 200MA, a BUY signal appears. 3. When 7MA crosses below 200MA, a Standby signal appears — do not sell, just wait for the next BUY. Usage Rules • Recommended timeframe: 15-minute or higher. • If used below 15 minutes, treat it as day trading — close trades within the same day. • Focus on long-term holding and small lot sizes to protect your capital. Signal Guide 🟢 BUY → Enter the trend direction. 🟠 Standby → Pause new entries and wait patiently. Alerts Set alerts to "Once per bar close": • BUY Signal → Golden Cross confirmed. • Standby Signal → Death Cross confirmed. Philosophy "Obey the rules, and your probability of success increases." This system rewards patience, discipline, and long-term trend following. Follow me for more TradingView scripts and updates. Billionaire Gold Clubは、ゴールド（XAU/USD）の長期上昇トレンドに沿って取引するためのインジケーターです。 基本的にBUYのみを狙い、デッドクロス時はStandby（待機）状態として次のBUYを待ちます。 推奨時間軸：15分足以上。 15分未満で使用する場合はデイトレードとして同日中にクローズすることを推奨します。 ロットを小さく保ち、長期保有で安定した運用を目指してください。
Pine Script® göstergesi
hrak22 tarafından
SMA 20/50/200 Strategy with TP/SLHere is a TradingView Pine Script indicator for the 20/50/200 SMA strategy. It generates Buy/Sell Signals and calculates Take Profit and Stop Loss prices for each signal. Features: Triggers only on the cross over/cross under bar (not continuous). Buy: 20 SMA crosses above 50 SMA and is above 200 SMA. Sell: 20 SMA crosses below 50 SMA and is below 200 SMA. Plots take profit and stop loss. Alerts repeat every cross over/cross under occurrence.
Pine Script® göstergesi
NoScaredMoney tarafından